1,276 to 1,300 of 4,474 SQL Jobs

TDD. Strong data and architecture skills: modelling across relational, columnar and vector stores, grounded in sound architectural principles. Languages: Python, Java, TypeScript/JavaScript, SQL and relevant AI SDKs. Leadership experience – plan and sequence work, manage scope, dependencies and priorities, remove blockers, and drive delivery. Excellent communication and influence: present ...

data engineering, workflow orchestration, and machine learning operations. Excellent communication skills with the ability to influence cross‐functional teams and stakeholders. Experience with Python, SQL, Java, HQL, Hive, Pyspark, or similar programming languages preferred. Well‐versed in design thinking principles. Great problem solving and analytical skills. #LI‐GM1 The total ...

detail and produce meaningful and tangible action focussed insights. Is this you? · 3 years experience working within a Data Analyst role. · Experience using SQL database management systems, Google Analytics, Advanced Excel, Power BI and Azure is essential for this role. · Strong IT Skills including Word, Excel, PowerPoint, and Outlook. · Assertive ...

systems preferable. Background bridging modelling and engineering — able to work directly with engineering teams and validate implementation fidelity, ideally with a development background (Python, SQL, Java, or equivalent). Demonstrable experience of data governance: business glossary, metadata management, stewardship frameworks, and change control. Desirable Familiarity with ESG/Responsible Investment ...

technical stakeholders Nice To Haves • Experience working with external industry bodies, aggregators or cross-sector fraud partnerships • Hands-on experience with tools such as SQL, Python, R, Power BI or Tableau • Knowledge of telecoms, financial services or large-scale consumer environments • Experience shaping customer or colleague fraud education initiatives • Exposure ...

experience in data engineering, workflow orchestration, and machine learning operations.Excellent communication skills with the ability to influence cross-functional teams and stakeholders.Experience with Python, SQL, Java, HQL, Hive, Pyspark, or similar programming languages preferredWell-versed in design thinking principlesGreat problem solving and analytical skills#LI-GM1The total cash range for this ...

/deployment tools like Jenkins, Tekton, UDeploy, Harness, NPM, Maven, Gradle. Implement unit testing and TDD to ensure software quality and maintainability. Proficiency in SQL databases, MongoDB, Oracle. Nice to have: Observability and monitoring tech stack familiarity. Understanding of Gen AI-based productivity tools (e.g., Microsoft Copilot) and middleware like ...

discovery to production Written production‐quality code using a variety of languages and frameworks, that include: Python, Java, JavaScript, TypeScript, React, Ruby, Scala, R, SQL, and Go Built high‐quality, maintainable software collaboratively, incrementally, and through an approach tailored towards the unique needs of the clients you’ve served Leveraged ...

with production‐quality code standards Practical experience applying AI tools to accelerate, enhance and automate analytical workflows Demonstrated experience architecting scalable data models using SQL and dbt within a modern data stack, including setting standards and reviewing others' work Exceptional ability to distil complex technical findings into clear strategic narratives ...

foundation in causal inference and experimental design: you understand difference-in-differences, synthetic control, propensity scoring, and when each method is appropriate. Expert-level SQL and Python (or R). You can write production-quality code, not just analysis notebooks. Experience with modern data warehouses (BigQuery or Snowflake) and familiarity ...

foundation in causal inference and experimental design: you understand difference-in-differences, synthetic control, propensity scoring, and when each method is appropriate. Expert-level SQL and Python (or R). You can write production-quality code, not just analysis notebooks. Experience with modern data warehouses (BigQuery or Snowflake) and familiarity ...

foundation in causal inference and experimental design: you understand difference-in-differences, synthetic control, propensity scoring, and when each method is appropriate. Expert-level SQL and Python (or R). You can write production-quality code, not just analysis notebooks. Experience with modern data warehouses (BigQuery or Snowflake) and familiarity ...

foundation in causal inference and experimental design: you understand difference-in-differences, synthetic control, propensity scoring, and when each method is appropriate. Expert-level SQL and Python (or R). You can write production-quality code, not just analysis notebooks. Experience with modern data warehouses (BigQuery or Snowflake) and familiarity ...

foundation in causal inference and experimental design: you understand difference-in-differences, synthetic control, propensity scoring, and when each method is appropriate. Expert-level SQL and Python (or R). You can write production-quality code, not just analysis notebooks. Experience with modern data warehouses (BigQuery or Snowflake) and familiarity ...

foundation in causal inference and experimental design: you understand difference-in-differences, synthetic control, propensity scoring, and when each method is appropriate. Expert-level SQL and Python (or R). You can write production-quality code, not just analysis notebooks. Experience with modern data warehouses (BigQuery or Snowflake) and familiarity ...

foundation in causal inference and experimental design: you understand difference-in-differences, synthetic control, propensity scoring, and when each method is appropriate. Expert-level SQL and Python (or R). You can write production-quality code, not just analysis notebooks. Experience with modern data warehouses (BigQuery or Snowflake) and familiarity ...

foundation in causal inference and experimental design: you understand difference-in-differences, synthetic control, propensity scoring, and when each method is appropriate. Expert-level SQL and Python (or R). You can write production-quality code, not just analysis notebooks. Experience with modern data warehouses (BigQuery or Snowflake) and familiarity ...

complexity Enterprise deals (6–7 figures) with minimal oversight 5+ years working across modern development stacks, including Python, JavaScript frameworks (Node.js, React), RESTful APIs, SQL, and some exposure to mobile development Familiarity with AI-assisted development tools (e.g. Codex, Claude Code) and emerging patterns such as MCP Strong domain knowledge ...

REST, GraphQL). Hands‐on experience with observability tooling (Datadog, Grafana, or similar) and a data‐informed approach to system health and reliability. Solid SQL and data management skills, with an appreciation for AI‐enabled, data‐driven systems. Familiarity with CI/CD, containerisation (GitHub Actions, GitLab CI, Docker ...

Proven experience building microservices and event-driven systems (e.g., with Kafka , RabbitMQ , or NATS ). Strong relational database skills ( PostgreSQL ), including schema design and SQL optimisation. Experience with RESTful API design and implementation, ideally with Spring Boot or Quarkus . Familiarity with containerisation ( Docker , Kubernetes , Helm ) and DevOps practices. Comfortable ...

Proven experience building microservices and event-driven systems (e.g., with Kafka , RabbitMQ , or NATS ). Strong relational database skills ( PostgreSQL ), including schema design and SQL optimisation. Experience with RESTful API design and implementation, ideally with Spring Boot or Quarkus . Familiarity with containerisation ( Docker , Kubernetes , Helm ) and DevOps practices. Comfortable ...

Proven experience building microservices and event-driven systems (e.g., with Kafka , RabbitMQ , or NATS ). Strong relational database skills ( PostgreSQL ), including schema design and SQL optimisation. Experience with RESTful API design and implementation, ideally with Spring Boot or Quarkus . Familiarity with containerisation ( Docker , Kubernetes , Helm ) and DevOps practices. Comfortable ...

Proven experience building microservices and event-driven systems (e.g., with Kafka , RabbitMQ , or NATS ). Strong relational database skills ( PostgreSQL ), including schema design and SQL optimisation. Experience with RESTful API design and implementation, ideally with Spring Boot or Quarkus . Familiarity with containerisation ( Docker , Kubernetes , Helm ) and DevOps practices. Comfortable ...

Proven experience building microservices and event-driven systems (e.g., with Kafka , RabbitMQ , or NATS ). Strong relational database skills ( PostgreSQL ), including schema design and SQL optimisation. Experience with RESTful API design and implementation, ideally with Spring Boot or Quarkus . Familiarity with containerisation ( Docker , Kubernetes , Helm ) and DevOps practices. Comfortable ...

Proven experience building microservices and event-driven systems (e.g., with Kafka , RabbitMQ , or NATS ). Strong relational database skills ( PostgreSQL ), including schema design and SQL optimisation. Experience with RESTful API design and implementation, ideally with Spring Boot or Quarkus . Familiarity with containerisation ( Docker , Kubernetes , Helm ) and DevOps practices. Comfortable ...